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FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection

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Abstract

Hyperspectral image contains various wavelength channels and the corresponding imagery processing requires a computation platform with high performance. Target and anomaly detection on hyperspectral image has been concerned because of its practicality in many real-time detection fields while wider applicability is limited by the computing condition and low processing speed. The field programmable gate arrays (FPGAs) offer the possibility of on-board hyperspectral data processing with high speed, low-power consumption, reconfigurability and radiation tolerance. In this paper, we develop a novel FPGA-based technique for efficient real-time target detection algorithm in hyperspectral images. The collaborative representation is an efficient target detection (CRD) algorithm in hyperspectral imagery, which is directly based on the concept that the target pixels can be approximately represented by its spectral signatures, while the other cannot. To achieve high processing speed on FPGAs platform, the CRD algorithm reduces the dimensionality of hyperspectral image first. The Sherman–Morrison formula is utilized to calculate the matrix inversion to reduce the complexity of overall CRD algorithm. The achieved results demonstrate that the proposed system may obtains shorter processing time of the CRD algorithm than that on 3.40 GHz CPU.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grants No. NSFC-91638201, 61571033, 41722108, and partly by the Higher Education and High-Quality and World-Class Universities under Grant No. PY201619.

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Authors and Affiliations

  1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 10029, China

    Jingjing Wu, Yu Jin & Wei Li

  2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China

    Lianru Gao & Bing Zhang

Authors
  1. Jingjing Wu
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  2. Yu Jin
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  3. Wei Li
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  4. Lianru Gao
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Correspondence to Yu Jin.

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Wu, J., Jin, Y., Li, W. et al. FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection. J Real-Time Image Proc 15, 673–685 (2018). https://doi.org/10.1007/s11554-018-0823-7

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  • DOI: https://doi.org/10.1007/s11554-018-0823-7

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